Available Climate Risk Management Features
Missing Climate Risk Management Features
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Core Features
Global Hazard Library & Asset Coverage: The platform includes more than 50-hazard types, geospatial modelling and over 5 million physical assets mapped to corporations, counterparties and value chains.
Stochastic, Probabilistic Modelling: Rather than single-scenario forecasting, RiskThinking.ai uses probabilistic distributions and tail-risk modelling to evaluate low-probability, high-impact climate events.
Asset-Level Precision & Financial Metrics: Assets, locations and corporate entities can be analysed for expected loss, value at risk, hazard attribution and climate-driven risk over time horizons.
Scenario & Multi-Hazard Stress Testing: By modelling multiple hazards and their interactions, the platform supports adaptation planning and resilience decisions across sectors.
API & Data Services Integration: Bulk data delivery, API access, integration with risk management systems and enterprise workflow support drive usability for large organisations.
Auditability and Traceability: Data and models are documented, transparent and built for institutional use, enabling confidence in insights used for strategic and regulatory purposes.
Plans & Pricing
While public pricing is not disclosed, RiskThinking.AI offers tiered enterprise services including corporate risk assessments, bulk data delivery, API access, customised analytics and portfolio-wide subscriptions. Organisations typically contract based on asset coverage, number of entities, data deliverables, and time-horizon modelled. Discounts and pilot assessments may be available for proof-of-concepts.
Integrations
RiskThinking.ai integrates with:
Corporate asset databases and geospatial systems for asset-level mapping
Risk management and ERM systems in banks, insurers and corporates for embedding climate risk data into financial workflows
Cloud-computing environments (e.g., AWS HPC) to support large-scale simulation and enterprise deployment
Partner platforms (e.g., via SS&C Algorithmics) for climate-physical risk scores and data feeds
Certifications & Awards
RiskThinking.AI is recognised in climate intelligence and financial risk circles for pioneering probabilistic modelling of physical climate risk. It holds patented algorithms and has been referenced by academic and industry research as a “first full enterprise platform” for climate risk at scale.
Expert Voices & Reviews
Industry commentary highlights that RiskThinking.AI “turns climate change into financial risk, so it gets priced, managed and no longer overlooked.”A comparative review noted the platform covers 50 hazards and 6 million assets, offering deeper modelling than many peers.
Customers & Case Studies
RiskThinking.AI serves banks, asset managers, insurers, infrastructure owners and corporates across sectors such as energy, utilities, real estate and manufacturing. For example, a case for a major U.S. bank illustrates how over 190 asset locations were modelled across 56,000+ climate scenarios to assess exposure and adaptation priorities.
Closing Insights
RiskThinking.AI stands out in the climate-risk software space for its depth of modelling, asset-level granularity and financial risk framing. For organisations with large physical asset portfolios, long-term infrastructure exposure or multi-entity risk frameworks, it offers a compelling and sophisticated decision-support tool. It is less well-suited to smaller companies focused solely on ESG or supplier tracking rather than deep physical-risk modelling. As climate disclosure regimes evolve and physical risk becomes financially material, RiskThinking.ai offers a bridge between climate science and enterprise risk management.